{"id":"W3211056276","doi":"10.1111/rec.13590","title":"Nutrient loading <i>Artemisia cana</i> seedlings in greenhouse increases nitrogen tissue content and post‐outplanting survival","year":2021,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Parks Canada; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sowing; Seedling; Nutrient; Agronomy; Revegetation; Biology; Mulch; Transplanting; Growing season; Horticulture; Environmental science; Botany; Ecology; Ecological succession","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001514244,0.0003364729,0.0003476728,0.0001663335,0.0002259543,0.0002881108,0.0003259205,0.0002314852,0.001042617],"category_scores_gemma":[0.0001649322,0.0002193163,0.0002158228,0.0001021897,0.0001692304,0.0002339899,0.0002704939,0.0006328153,0.000314707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005380872,"about_ca_system_score_gemma":0.0002473807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005915792,"about_ca_topic_score_gemma":0.0125377,"domain_scores_codex":[0.999893,0.00001577651,0.0000102732,0.00003112821,0.00002482214,0.00002503556],"domain_scores_gemma":[0.9995272,0.0001124551,0.00008824447,0.00004436694,0.00004908341,0.0001785856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002643129,0.00007235808,0.0005990227,0.00002489372,0.000005276308,0.00003165737,0.00002705924,0.00004268142,0.99826,0.00001154089,0.00005030425,0.0006109618],"study_design_scores_gemma":[0.00007067511,0.004073003,0.08221549,0.00001969625,0.00005237318,0.0001540354,0.0002095721,0.00195141,0.9088212,0.00004923516,0.002351765,0.00003161971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987185,0.0001616085,0.0002074995,0.0000357358,0.00001544913,0.00001239509,0.0001571895,0.00007936639,0.0006123664],"genre_scores_gemma":[0.9962509,0.0001730104,0.0009935381,0.00009613459,0.000006523469,0.00002968077,0.0005120494,0.00004199205,0.001896197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005915792,"threshold_uncertainty_score":0.01176274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521439700791143,"score_gpt":0.2199575919909803,"score_spread":0.2047431949830688,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}